pydantic-cli VS Python Fire

A comparison with https://github.com/mpkocher/pydantic-cli is welcome.

pydantic-cli

Also, the new type annotations/hints feature added to Python is an extremely useful mechanism to clearly communicate interfaces when leveraging functions as first class citizens. This can dramatically help readability and maintainability. Here's an example library designed leveraging functional centric concepts + type annotations.

Depending on the strictness level of adoption of mypy, this can sometimes (often?) requires changing how you write code. You can see some contortions here. However, having strict type analysis enables catching a lot of issues.

https://github.com/mpkocher/pydantic-cli#other-related-tools

python-fire - Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object

How to Accomplish: Design your scripts to accept command-line arguments or read from configuration files for all variable parameters, such as learning rates, batch sizes, and paths to datasets. Libraries like Click, Fire, and Typer make it easy to implement CLI-based configurations, while configuration file parsers (e.g., JSON, YAML) allow for more complex setups.

There is also a (unofficial) Google project called fire:

https://github.com/google/python-fire

The cli tool [fire](https://github.com/google/python-fire/blob/master/docs/guide...) has a nifty feature where it can generate a cli for any file for you.

So random and math are somewhat usable that way

    $ python -m fire random uniform 0 1

With python-fire you can use either function or class to create your subcommands. But I find working with classes more intuitive and manageable. Our first command is going to be a sub-command that shows us the UTC time.

Have you checked out fire? Personally, I think it's a really elegant solution to turning a callable object into command line. Plus, the chaining function calls feature lets you build some pretty complex command line patterns likes you never seen with other frameworks. Definitely worth giving it a try!

I started with click but found python fire to be so much easier to use.

I highly recommend checking out fire for adding a CLI quickly to little utility scripts that aren't going to be published to the world but just for you.